Andrea Churchwell

About

I came into tech through a nontraditional path and found along the way that I learn best by building. Since then, I’ve worked across Python, full-stack development, machine learning, and applied AI, including helping build a RAG-based learning application and contributing a merged fix to CesiumJS. I’m still early in my tech career, and I’m looking for the chance to keep building, learn from

Experience

• Registered Dental Assistant
  Dental Practices · Tennessee

  Patient-facing clinical work requiring reliability, attention to detail, accurate documentation, clear communication, and the ability to adapt quickly in a busy environment.

AI projects

• Our Door | RAG-based learning application built with a three-person team using React, FastAPI, OpenAI API, embeddings, and ChromaDB. Worked across retrieval and prompting workflows, APIs, student/admin functionality, testing, debugging, and feature changes.

  Andrea's Bracket Breakdown | Built and deployed an NCAA tournament prediction application using Python, Pandas, scikit-learn, logistic regression, feature engineering, and 1,000+ Monte Carlo simulations to estimate matchup win probabilities.

  CesiumJS | Contributed to a large open-source JavaScript codebase. Investigated two issues, including a sampler wrap mode fix that went through maintainer review and was merged, plus a separate attribution investigation that required tracing behavior through an unfamiliar codebase.